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34 results on '"Hu, Xiaoyi"'

4. Hierarchical Estimation Model of State-of-Charge and State-of-Health for Power Batteries Considering Current Rate.

Author

Xu, Peihang, Hu, Xiaoyi, Liu, Benlong, Ouyang, Tiancheng, and Chen, Nan

Abstract

For power batteries used in the electric vehicle, accurate state-of-charge (SOC) and state-of-health (SOH) are important. Meanwhile, the current rate in actual working conditions often varies dramatically. However, the influence of current rates on voltage and battery states estimation has been neglected for a long time. To solve this problem, in this article, a hierarchical estimation model considering the current rate is proposed. The fractional-order model is used in the battery modeling, the data-driven method is used to identify parameters, and a multiscale dual extended Kalman filter (DEKF) is used in estimation of battery states. For SOC estimation, the proposed method improves the accuracy by 35.8% and 36.5% compared with traditional DEKF under two conditions. For SOH estimation, the proposed method improves the accuracy by 34.8% and 43.1% under two current conditions. [ABSTRACT FROM AUTHOR]

Published
2022
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5. State-of-Charge Estimation for Lithium-ion Batteries Based on Fuzzy Information Granulation and Asymmetric Gaussian Membership Function.

Author

Xu, Peihang, Liu, Benlong, Hu, Xiaoyi, Ouyang, Tiancheng, and Chen, Nan

Subjects
MEMBERSHIP functions (Fuzzy logic), GAUSSIAN function, LITHIUM-ion batteries, INFORMATION asymmetry, GRANULATION, ELECTRIC vehicle batteries, TRAFFIC safety
Abstract

For power batteries used in the electric vehicle, accurate state-of-charge estimation is important. However, as one of the most commonly used estimation method, the least square support vector regression is hard to balance the accuracy and efficiency. To solve this problem, the fuzzy information granulation based on asymmetric Gaussian membership function is proposed to improve the utilization efficiency of the effective data and enhance the prediction accuracy of battery states. In addition, the performance of the proposed method is compared with that of other commonly used membership functions. In experiments, the dynamic stress test condition and the urban dynamometer driving schedule condition are used to verify the effectiveness. Compared with the most commonly used triangle membership function, the proposed method improves the accuracy of estimation by 6.47% and 2.18% under two current conditions, respectively. [ABSTRACT FROM AUTHOR]

Published
2022
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8. Coestimation of State-of-Charge and State-of-Health for Power Batteries Based on Multithread Dynamic Optimization Method.

Author

Ouyang, Tiancheng, Xu, Peihang, Lu, Jie, Hu, Xiaoyi, Liu, Benlong, and Chen, Nan

Subjects
KALMAN filtering, LITHIUM-ion batteries, RANDOM noise theory, BATTERY storage plants, ELECTRIC vehicle batteries, DYNAMIC testing
Abstract

Accurate estimation of state-of-charge (SOC) and state-of-health (SOH) is extremely important for the state diagnosis of power batteries, which is related to the energy efficiency and safety of electric vehicles. However, in order to represent the signal noises of sensors, the most commonly used method based on Kalman filter introduces the random Gaussian noise into the estimation, which causes the uncertainty of the estimation results. In this article, the multithread dynamic optimization method is proposed to solve the problem. In addition, the fractional-order model and the unscented Kalman filter are used in SOC estimation. The Gaussian linear models based on parameters of six commonly used open-circuit-voltage models are proposed to estimate SOH. Finally, the dynamic stress test current condition and four lithium-ion batteries are implemented to verify the effectiveness of the proposed method in the experiment. For SOC estimation, root-mean-square error (RMSE) of the proposed method is 0.098 and the average value of the six models is 0.123, thus the proposed method improves the estimation accuracy by 20.32%. For SOH estimation, we compare the smallest RMSE of the six models and that of the proposed method for four experimental batteries, thus the average improvement of accuracy is 25.44%. [ABSTRACT FROM AUTHOR]

Published
2022
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9. Anonymizing approach to resist label-neighborhood attacks in dynamic releases of social networks

Author

Cong Lei, Peng Liu, Jiaqi Tang, Xianxian Li, Hu Xiaoyi, and Li-e Wang

Subjects
Data collection, Social network, Computer science, business.industry, Network structure, Identity (social science), 020206 networking & telecommunications, 02 engineering and technology, Adversary, Computer security, computer.software_genre, Attack model, Information sensitivity, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, business, computer, Social structure
Abstract

Data collection by social networking applications offers many opportunities for mining information, which provides a better understanding of social structures and their dynamic structures. Anonymization of social networks before they are published or shared is particularly important, since social network data usually contain much sensitive information on individuals. In this paper, we address the privacy problems of dynamic releases of social networks. We re-define the label-neighborhood attack model in dynamic social network releases. An adversary can use one-hop neighbor's network structure and label as background knowledge to identity the victim to learn more sensitive information. We propose a dynamic-l-diversity anonymized method to resist attacks. Experiments show that the proposed approach can retain much of the characteristics of the network while providing high utility.

Published
2017

11. Study on dynamic behavior of CRH380B type high speed vehicle with suspension component failures

Author

Hu Xiaoyi

Subjects
Vehicle dynamics, Engineering, Shock absorber, business.industry, Control theory, Frequency domain, Yaw damper, business, Suspension (vehicle), Fault (power engineering), Bogie, Automotive engineering, Damper
Abstract

Firstly, a dynamic simulation model of CRH380B type high speed vehicle for detecting and locating the suspension component failures based on SIMPACK software is established in this paper. Then based on the established dynamic simulation model, the dynamic behaviors of different parts of the vehicle with the primary vertical damper failure, air spring failure and the yaw damper failure are respectively investigated under different speed levels. By analyzing the time and frequency domain characteristics of the dynamic response signals of car body, front and rear bogies, the relationship between the failure of bogie suspension components and dynamics response signals of vehicle system is obtained. Finally, by analyzing the respective sensitive dynamics response signals further, the respective sensitive fault feature factors to detect and locating the primary vertical damper failure, air spring failure and the yaw damper failure are proposed in this paper.

Published
2016

17. Performance comparison of time synchronization algorithms for OFDM underwater communication system

Author

Sun Haixin, Hu Xiaoyi, Wang Deqing, Wei Wei, and Xu Ru

Subjects
Engineering, Basis (linear algebra), Orthogonal frequency-division multiplexing, business.industry, Data_CODINGANDINFORMATIONTHEORY, Synchronization, Symbol (chemistry), Chirp, Electronic engineering, ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS, Underwater, business, Algorithm, Underwater acoustic communication, Communication channel
Abstract

This paper is about time synchronization algorithms for Orthogonal Frequency Division Multiplexing (OFDM) system based on the features of underwater acoustic (UWA) channel. The three time synchronization algorithms are analyzed at the first place. Then on the basis of computer simulation, the performance of the three algorithms are compared and tested in the actual lab pool. Latter experimental results shows LFM chirp signals as synchronization symbol are more suitable for OFDM underwater communication system.

Published
2007

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